Massive Graph Analytics by David A Bader
Massive Graph Analytics provides a comprehensive introduction to massive graph analytics, featuring contributions from thought leaders across academia, industry, and government. The book will be beneficial to students, researchers and practitioners, in academia, national laboratories, and industry in massive scale graph analytics.-
Introduction to NFL Analytics with R
-
Probability and Statistics for Data Science
- Deep Learning and Statistics
- Introduction to Data Science
-
DevOps for Data Science
-
Data Science in Healthcare
-
What's the Question?
-
Test-Driven Data Analysis
-
Textual and Contextual Data Analysis
-
Advanced Basketball Data Science
-
Introduction to Classifier Performance Analysis with R
-
Research Software Engineering
-
Getting (more out of) Graphics
-
JavaScript for Data Science
-
Supervised Machine Learning for Text Analysis in R
-
An Introduction to IoT Analytics
-
Deep-Learning-Assisted Statistical Methods with Examples in R
-
Natural Language Processing in the Real World
-
Predictive Modelling for Football Analytics
-
Models Demystified
-
Cybersecurity Analytics
-
Big Data Analytics
-
Basketball Data Science
-
Why Data Science Projects Fail
-
Mathematical Engineering of Deep Learning
-
Data Science for Water Utilities
-
Real World AI Ethics for Data Scientists
-
Data Science and Analytics Strategy
-
Hands-On Data Science for Librarians
-
Data Science
-
Practitioner's Guide to Data Science
-
Practitioner’s Guide to Data Science
-
Spatial Statistics for Data Science
-
Data Science in Practice
-
The Data Preparation Journey
GraphsSuch a simple idea. Map a problem onto a graph then solve it by searching over the graph or by exploring the structure of the graph. What could be easier? Turns out, however, that working with graphs is a vast and complex field. Keeping up is challenging. To help keep up, you just need an editor who knows most people working with graphs, and have that editor gather 68 researchers to summarize their work with Graphs. The result is the book Massive Graph Analytics.
-- Timothy G Mattson, Senior Principal Engineer, Intel Corp
David A.Bader is a Distinguished Professor in the Department of Computer Science in the Ying Wu College of Computing and Director of the Institute for Data Science at New Jersey Institute of Technology. Prior to this, he served as founding Professor and Chair of the School of Computational Science and Engineering, College of Computing, at Georgia Institute of Technology. He is a Fellow of the IEEE, ACM, AAAS, and SIAM, and a recipient of the IEEE Sidney Fernbach Award.
| SKU | Unavailable |
| ISBN 13 | 9780367464127 |
| ISBN 10 | 0367464128 |
| Title | Massive Graph Analytics |
| Author | David A Bader |
| Series | Chapman And Hall Crc Data Science Series |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Taylor & Francis Ltd |
| Year published | 2022-07-20 |
| Number of pages | 590 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |